Download Automata, Languages and Programming: 29th International by John H. Reif (auth.), Peter Widmayer, Stephan Eidenbenz, PDF

By John H. Reif (auth.), Peter Widmayer, Stephan Eidenbenz, Francisco Triguero, Rafael Morales, Ricardo Conejo, Matthew Hennessy (eds.)

This ebook constitutes the refereed complaints of the twenty ninth overseas Colloquium on Automata, Languages and Programming, ICALP 2002, held in Malaga, Spain, in July 2002.
The eighty three revised complete papers offered including 7 invited papers have been rigorously reviewed and chosen from a complete of 269 submissions. All present facets of theoretical computing device technology are addressed and significant new effects are awarded.

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Vol 44 (1999) 87–96, 25. , S. Karl, M. Saito: Graph structures in DNA computing in Computing with Bio-Molecules, theory and experiments, (editor Gh. Paun) Springer-Verlag (1998), 93–110. 26. LaBean, T. , E. H. Reif, Experimental Progress in Computation by Self-Assembly of DNA Tilings, Proc. DNA Based Computers V: June 14-16, 1999. DIMACS Series in Discrete Mathematics and Theoretical Computer Science, E. Winfree and D. K. Gifford, editors, American Mathematical Society, Providence, RI, vol. 54, 2000, pp.

There are a number of ways to introduce redundancy into a computational tiling assembly. One simple method that can be developed for linear tiling assemblies, is to replace each tile with a stack of three tiles executing the same function, and then add additional tiles that essentially ‘vote’ on the pad associations associated with these redundant tiles. This results in a tiling of increased complexity but still linear size. This error resistant design can easily be applied to the integer addition linear tiling described above, and similar redundancy methods may be applied to higher dimension tilings.

The problem Pl-3SAT is a restriction of the problem 3SAT in which the clause-variable bipartite graph is planar. Q-3SAT is a problem like 3SAT except that the variables can be universally or existentially quantified. ) More generally we use Π-SAT(S) and Π-SATC (S) to be any one of the variant satisfiability problems: MAX-SAT(S), #-SAT(S), Unique-SAT(S), etc. From a computational standpoint, one advantage of representing problems in this algebraic model is that problem instances now have a combinatorial (graph) structure determined by which variables appear in which clauses.

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